team-drift

Extract claims from a source document and verify them against a target to generate a drift report.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/davekim917/bootstrap --skill team-drift
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-drift
Source: https://github.com/davekim917/bootstrap/tree/main/plugins/workflow/skills/team-drift
Command: npx skills add https://github.com/davekim917/bootstrap --skill team-drift

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams ensure two documents reflect each other by extracting all claims from a source-of-truth and verifying them against a target using two independent agents, then classifying mismatches by severity.

Core Features & Use Cases

  • Extracts claims from the source-of-truth and verifies them against the target to surface drift.
  • Classifies drift as CONFIRMED, PARTIAL, DIVERGED, or MISSING and outputs a drift report.
  • Supports workflow integration after planning/building stages, design reviews, or any stage where alignment is needed.

Quick Start

Provide the two documents—the source-of-truth and the target—and run the drift check to generate a drift report.

Frequently Asked Questions about team-drift

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect document drift between a source-of-truth and a target document?

Document drift detection works by extracting all claims from a source-of-truth and verifying each against a target using two independent agents. Mismatches are classified as CONFIRMED, PARTIAL, DIVERGED, or MISSING and compiled into a drift report.

What is the best way to verify claims across two documents for alignment?

The best way to verify claims for alignment is using a multi-agent approach where two independent agents check the source-of-truth against the target. This dual-agent verification surfaces discrepancies and classifies drift severity.

When do I need to run a drift check on my documents?

You need to run a drift check after planning or building stages, during design reviews, or at any workflow stage where document alignment is required. It ensures the target document accurately reflects the source-of-truth.

How do I generate a drift report classifying mismatches by severity?

To generate a drift report, provide the source-of-truth and target documents as context. The process extracts and verifies claims, then classifies mismatches as CONFIRMED, PARTIAL, DIVERGED, or MISSING using the drift-report-template.md format.

Can I use automated drift detection for documents without any external dependencies?

Yes, automated drift detection can be used without external dependencies. You provide the two documents as sole context, and the system handles claim extraction, verification via two independent agents, and drift report generation independently.

What do the drift classification categories CONFIRMED, PARTIAL, DIVERGED, and MISSING mean?

The drift classification categories indicate severity of mismatches between documents. CONFIRMED, PARTIAL, DIVERGED, and MISSING describe whether claims in the source-of-truth are fully matched, partially reflected, diverged, or absent in the target document.